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FP&A platforms · November 2026 Edition

Aleph vs Vena

Three of fourteen models named Aleph first on the direct prompt; one named Vena. Aleph was named by twelve of the fourteen models and Vena by fourteen and Aleph carries 25 labels and Vena 49, so the shares are not directly comparable.

Aleph

accepted challenger

Named in five categories this edition.

Vena

accepted challenger

Named in ten categories this edition.

First-choice share9%5%Of first choices across the direct, paraphrase, budget and scale prompts, 0 to 100.
Negative rate0%22%Negative labels as a share of the product's labels, 0 to 100.
Rank in category#4#7A position in a field of 14; printed, not drawn.
Labels2549A count; the two differ.
The two percentage rows are drawn on one 0 to 100 track, Aleph reading right to left. Rank and label count are printed, not drawn.Prophix was named alongside these two in ten of the fourteen direct answers. Pigment vs Aleph · Pigment vs Vena · Prophix vs Aleph

Share is the count of first choices across the direct, paraphrase, budget and scale prompts over all fourteen models, for a mid-market B2B company; rank is within the category; every quote names the model and the prompt it came from. Both figures come from the FP&A platforms page.

By framing

How many of the fourteen models made each the first choice, per way of asking, and how many argued against it.
AlephFirst choices, of fourteen modelsVena
Direct31
Paraphrase11
Comparative00
Budget-constrained002 against Vena
Scale-constrained11
Negative009 against Vena
Bars are first choices, 0 to 14 each sideModels that argued againstA model can name both, so the two sides of a row do not sum to fourteen.

Every model, every framing

The eighty-four answers behind the chart above, one cell each: where Aleph and Vena stood in it.
ModelDirectParaphraseComparativeBudget-constrainedScale-constrainedNegative
Claude Haiku 4.5
GPT-5.4 mini
Gemini 3.5 Flash
Perplexity Sonar
Grok 4.20
Mistral Small
DeepSeek V4 Flash
Llama 4 Maverick
Qwen 3.7 Flash
Kimi K2
GLM 4.7 FlashX
MiniMax M2.5
GPT-6 Luna
Muse Glimmer 30B
Aleph Vena first choice named as an alternative argued againstblank: not namedEach cell is one answer, Aleph on the left and Vena on the right.

The direct prompt

The plain question, one answer per model, grouped by where Aleph and Vena stood in it.

Aleph first, Vena an alternative

3 of 14 modelsVena was named in the answer but not as the choice, or not at all.
Llama 4 MaverickAleph, Pigment, Prophix alternatives: Cube, Datarails, Workday Adaptive Planning
MiniMax M2.5Aleph, Pigment alternatives: Prophix, Vena
Muse Glimmer 30BAleph, Pigment alternatives: Centage, Cube, Datarails, Prophix, Vena

Vena first, Aleph not the choice

1 of 14 modelsAleph was named in the answer but not as the choice, or not at all.
GPT-5.4 miniVena alternatives: Anaplan, Datarails, Planful, Workday Adaptive Planning

Neither was the first choice, one was named

9 of 14 modelsThe answer put something else first and named one of the two as an alternative.
Claude Haiku 4.5Planful alternatives: Cube, Prophix, Vena
Gemini 3.5 FlashAbacum, Mosaic alternatives: Cube, Pigment, Planful, Prophix, Vena
Perplexity SonarPigment alternatives: Aleph, Planful, Prophix
Grok 4.20Cube alternatives: Centage, Maxio, Planful, Vena
DeepSeek V4 FlashPigment alternatives: Aleph, Prophix
Qwen 3.7 FlashPlanful, Workday Adaptive Planning alternatives: Centage, Cube, Vena
Kimi K2Pigment alternatives: Aleph, Datarails, Prophix, Vena
GLM 4.7 FlashXPigment alternatives: Aleph, Prophix
GPT-6 LunaPigment alternatives: Adaptive from Workday, Planful, Vena

Neither was named

1 of 14 modelsThe answer made no first choice from these two in this category.
Mistral SmallPlanful alternatives: Pigment, Prophix

Bold names in an answer are the products the judge labeled a first choice; a model naming several gives each of them that label. The full answer text for every row is in the record.

By buyer segment

The same question asked on behalf of a different buyer. Each standing is computed within its segment and they are never added together. The figures above are the mid-market standing, which is the one the category orders by.
Small business
Aleph leads by five points.
Aleph5%#5 of 17
Vena0%#15 of 17
The full small business standing →
Mid-marketThe figures above
Aleph leads by four points.
Aleph9%#4 of 14
Vena5%#7 of 14
The full mid-market standing →
Enterprise
The order flips: Vena leads at enterprise.
Vena2%#10 of 14
Aleph0%#– of 14
The full enterprise standing →

What the models said about Aleph

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“I'd suggest starting with Aleph if your team is spreadsheet-centric and wants quick implementation” MiniMax M2.5 · direct prompt · first choice
“Currently showing high market share... Look closely at Aleph or Cubesoftware.” Qwen 3.7 Flash · scale prompt · first choice

What the models said about Vena

Every negative label with a quote, up to three, then the highest-weighted positives, up to three. Two of two in this category shown.

“Extremely slow performance (e.g., single-cell updates taking 20+ minutes)... many call it "the worst decision"” Grok 4.20 · negative prompt · hard negative
“Vena is criticized mainly for scalability and being Excel-in-the-cloud” DeepSeek V4 Flash · negative prompt · hard negative
Also compared

Comparisons are drawn for the top eight products in each category, each against each. The output is the models' output; nothing here is a recommendation by the index.